Results 131 to 140 of about 13,859 (206)

Individual and Environmental Factors Influencing Influenza Transmission: A Multilevel Analysis

Influenza and Other Respiratory Viruses, Volume 20, Issue 2, February 2026.
ABSTRACT Background Influenza transmission is influenced by both individual characteristics and community‐level drivers. Understanding how these drivers jointly influence transmission is important to predicting outbreaks and guiding influenza prevention strategies.
Nushrat Nazia, Eleanor Pullenayegum, Mark Loeb   +2 more
wiley   +1 more source

Comparing distribution of harbour porpoise using generalized additive models and hierarchical Bayesian models with integrated nested laplace approximation

Ecological Modelling, 2022
Laura D. Williamson, B. Scott, M. Laxton, J. Illian, V. Todd, P. I. Miller, Kate L. Brookes   +6 more
semanticscholar   +1 more source

Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia

Scientific Reports
In this study, we modelled the incidence of COVID-19 cases and hospitalisations by basic health areas (ABS) in Catalonia. Spatial, temporal and spatio-temporal incidence trends were described using estimation methods that allow to borrow strength from ...
Pau Satorra, Cristian Tebé
doaj   +1 more source

Spatiotemporal modeling of ecological and sociological predictors of West Nile virus in Suffolk County, NY, mosquitoes

Ecosphere, 2017
Suffolk County, New York, is a locus for West Nile virus (WNV) infection in the American northeast that includes the majority of Long Island to the east of New York City.
Mark H. Myer, Scott R. Campbell, John M. Johnston   +2 more
doaj   +1 more source

Integrated Nested Laplace Approximations within Monte Carlo Methods

, 2020
Integrated Nested Laplace Approximations (INLA) er en deterministisk metode for å oppnå bayesiansk inferens på latente gaussiske modeller (LGMer) og fokuserer på raske og nøyaktige approksimasjoner av marginale posteriori-fordelinger for parametrene i en modell.
openaire   +1 more source

Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach

, 2018
Bayesian inference typically requires the computation of an approximation to the posterior distribution. An important requirement for an approximate Bayesian inference algorithm is to output high-accuracy posterior mean and uncertainty estimates ...
Broderick, Tamara, Campbell, Trevor, Huggins, Jonathan H., Kasprzak, Mikołaj   +3 more
core  

A flexible multi-scale spatio-temporal modeling approach for disentangling meteorological and anthropogenic drivers of air pollution

International Journal of Applied Earth Observations and Geoinformation
Geographical systems are inherently hierarchical, involving potential cross-scale interactions, as well as spatial dependencies and heterogeneities at each level of the geographic hierarchy.
Dongyang Yang, Guanpeng Dong
doaj   +1 more source

High‐Frequency Ground Motions of Earthquakes Correlate With Fault Network Complexity

Geophysical Research Letters
Understanding the generation of damaging, high‐frequency ground motions during earthquakes is essential both for fundamental science and for effective hazard preparation.
Avigyan Chatterjee, Daniel T. Trugman, Greg Hirth, Jaeseok Lee, Victor C. Tsai   +4 more
doaj   +1 more source

Spatial modeling of mid-infrared spectral data with thermal compensation using integrated nested Laplace approximation.

Applied Optics, 2021
B. Aquino, S. Castruccio, Vijay Gupta, S. Howard   +3 more
semanticscholar   +1 more source

PENDEKATAN GLMM BINOMIAL NEGATIF DALAM MENGANALISIS KASUS KEMATIAN BAYI DI JAWA TIMUR TAHUN 2023

E-Jurnal Matematika
Infant Mortality Rate (IMR) is a critical indicator of the health and welfare of a community, particularly in East Java. This province has a concerning IMR, necessitating greater efforts to meet the Sustainable Development Goals (SDGs) target of 12 ...
YOHANA HERLINA PUTRI, SYASYA QONITA AZIZAH   +1 more
doaj   +1 more source